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＜E-Book＞
Time Series Analysis Using SAS Enterprise Guide / by Timina Liu, Shuangzhe Liu, Lei Shi
(SpringerBriefs in Statistics. ISSN:21915458)

Edition	1st ed. 2020.
Publisher	(Singapore : Springer Nature Singapore : Imprint: Springer)
Year	2020
Size	VIII, 131 p. 116 illus., 115 illus. in color : online resource
Authors	*Liu, Timina author Liu, Shuangzhe author Shi, Lei author SpringerLink (Online service)
Subjects	LCSH:Mathematical statistics—Data processing LCSH:Econometrics FREE:Statistics and Computing FREE:Econometrics
Notes	1 Introduction -- 1.1 Overview -- 1.2 SAS Enterprise Guide -- 2 Basic Statistics and Regression Models -- 2.1 Calculating New Variables -- 2.2 Normality Test -- 2.3 Simple Linear Regression -- 2.4 Multiple Linear Regression -- 3 Time Series -- 3.1 Smoothing Methods -- 3.2 ARIMA Model -- 3.3 Regression Model with AR Errors -- 4 Panel Models -- 4.1 Fixed effect -- 4.2 Random Effect -- References This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors HTTP:URL=https://doi.org/10.1007/978-981-15-0321-4

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